IEEE

Retinal Vessel Segmentation Based on Intuitionistic Fuzzy Support Vector Machine

Abstract: The morphological characteristics of retinal blood vessels play an essential role in the computer-assisted diagnosis of fundus-related diseases. In this paper, a retinal vessel segmentation ...
IEEE

Intrusion Detection System Using Machine Learning Based on NSL KDD Dataset

Abstract: Todays digital era network may become unstable due to malicious activity on the Internet. One of the best protection methods is an intrusion detection system (IDS), which lowers security ...
IEEE

Multiple-category, Multiple-instance Segmentation from RGB-D Data for Industrial Bin-picking

Abstract: Bin-picking is a significant task in industrial scenes, with a challenging problem of segmentation. However, industrial scenes usually involve textureless objects with clutter and occlusion, ...
IEEE

Learning Frequency-Domain Fusion for Multimodal Remote Sensing Semantic Segmentation

Abstract: Multimodal remote sensing data substantially enhance semantic segmentation accuracy by providing complementary information across sensing modalities. However, fully exploiting and ...
IEEE

Data-Driven Customer Segmentation in E-Commerce using K-Means Clustering for Personalized Marketing Strategies

Abstract: With the big data era, precision marketing in e-commerce has become ever more important in order to target prospective customers with high relevance. The present research focuses on applying ...
IEEE

DBSCAN and KMeans Clustering: Comparing Strengths and Suitability in Customer Segmentation

Abstract: K-Means clustering and Density-Based Spatial Clustering of Applications with Noise, both unsupervised clustering approaches have many applications. This paper performs a comparative analysis ...
IEEE

SRMF: A Data Augmentation and Multimodal Fusion Approach for Long-Tail UHR Satellite Image Segmentation

Abstract: The long-tail problem presents a significant challenge to the advancement of semantic segmentation in ultrahigh-resolution (UHR) satellite imagery. While previous efforts in UHR semantic ...
IEEE

Optimized Ensemble Learning for Semantic Segmentation of Satellite Imagery Using DeepLabV3+ and UNet With PSO and Cross-Dataset Evaluation

Abstract: Semantic segmentation is critical in remote sensing applications such as urban planning, disaster management, and environmental monitoring. However, segmenting complex satellite images ...
IEEE

Deep Learning-Based MRI Brain Tumor Segmentation With EfficientNet-Enhanced UNet

Abstract: Medical image segmentation plays a critical role in the field of medical image processing. Precisely delineating brain tumor areas from multimodal MRI scans is crucial for clinical diagnosis ...
IEEE

Supplier Segmentation in Large Enterprises: A Supervised Machine Learning Approach

Abstract: With today’s extensive outsourcing practices, the role of supplier relationship management (SRM) in supply chain management (SCM) has never been more critical. This study investigates the ...
IEEE

Toward Visual Interaction: Hand Segmentation by Combining 3-D Graph Deep Learning and Laser Point Cloud for Intelligent Rehabilitation

Abstract: Against the backdrop of the increasing trend of aging population in China and even globally, the demand for hand function rehabilitation is growing day by day, and human-machine interaction ...
IEEE

Predictive Modeling of Social Media Data Using Machine Learning Techniques

Abstract: Social media platforms, such as YouTube, generate an extensive amount of unstructured data, offering valuable insights into user behavior, engagement patterns, and preferences. This project ...